Description of the main audio formats
In the world of music there are a large number of musical formats of its modifications and versions, created by the giants of the music industry and small companies that have received public recognition in the electronic world.
Various physical methods have been developed to store audio data for this purpose, such as vinyl records, magnetic tape, CD, DAT, MD (minidisc), DVD, or converting music scores to music (MIDI), in the same way. Many different computing methods have emerged. Audio data storage – digital: OGG, Mp3, Flac, Wav formats.
It is impossible to consider and discuss all audio formats, codecs, their advantages and disadvantages, so in my article I will try to talk about the most popular audio file extensions that you find.
Why can’t we use any universal audio file encoding format? Because for the implementation of various functions, a different format is required. For example: to play CDs in a CD drive, to record music or sound effects in video games, to record a movie track or video clip, to play on mobile phones or transfer files via the Internet, in addition, there are a number of The world’s most widely used operating systems … These include: Amiga, Macintosh, NEXT, and Windows personal computers.
Also, the job of a dj, sound engineer, cj, video engineer, or a simple music lover is quite different in nature. This may require your audio data to be saved in his way. For example, the audio on a CD must be saved using 16 bits and a sample rate of 44.1 kHz. However, to download sound over the internet, we’d better use a different bit depth and sample rate, as each minute of 16-bit, 44-kilohertz audio takes up about 10MB, that is, an average track of 5 minutes will be 50 meters, which is too much information for the average user. This article provides an overview of the most popular music formats.
AA (Audible Audio Book File) is a proprietary format developed by Audible. It is used to record audiobooks that are sold through the Audible and iTunes services. It is possible to reduce or accelerate the speed of listening to files: digital tone, the ability to leave bookmarks when listening to audiobooks, file protection, when delivering sound recordings over the Internet.
AAC (Advanced Audio Coding) is an audio file format with less loss of quality when encoding than MP3 in the same sizes. Lossless music encoding of original quality using the ALAC profile. AAC is a family of MPEG4 audio coding algorithms. Unlike the hybrid mp3 filter bank, AAC uses MDST (Modified Cosine Transform) technology, which means that the listener gets better sound quality than MP3 encoding with the same or lower bit rate. Possible AAC file extensions: [.m4a], [.m4b], [.m4p].
Additionally, AAC is a wideband audio coding algorithm that uses two basic coding principles to greatly reduce the amount of data required to transmit high-quality digital audio. This format is one of the highest quality, uses lossy compression, compatible with most modern equipment, including notebooks.
As of 2009, it is much less widespread than MP3 and other workarounds. AAC (Advanced Audio Coding) was originally created as a successor to MP3 with improved encoding quality. The AAC format, officially known as ISO / IEC 13818-7, was released in 1997 as the new seventh part of the MPEG-2 family. There is also the AAC format known as MPEG-4 Part 3.
Benefits of AAC over MP3:
– up to 48 audio channels;
– high coding efficiency with constant and variable bit rate;
– sampling frequencies from 8 Hz to 96 kHz (MP3: 8 Hz – 48 kHz);
– More flexible set stereo mode.
ADX is a proprietary ADICM-based lossy compression and storage format developed by CRI Middleware specifically for use in video games. The most characteristic feature is the ability to loop the sound recording, which makes the use of the format convenient to use as background music in various games that support this media container. It is compatible with many SEGA Dreamcast games, some PlayStation 2 and GameCube games.
Unlike MP3, it does not use the psychoacoustic model of reducing the volume of sound data (reducing its complexity). Instead, the ADPCM model uses a prediction function relative error data log to store the samples, which means greater conservation of the signal.
